Animation Memory Optimization
Optimize animation memory usage for efficiency
Install
$ agentstack add skill-lgrappag-workflows-agents-animation-memory-optimization ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-lgrappag-workflows-agents-animation-memory-optimization) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Animation Memory Optimization
Optimize animation memory usage for efficiency
Risk Level
MEDIUM
Core Rules
- Minimize memory footprint
- preserve quality
- Test thoroughly before deploying
Response Pattern
When Using This Skill
- Analyze memory usage
- Validate the implementation
- Test edge cases and error conditions
- Ensure performance meets requirements
Usage Contexts
- Memory efficiency
- performance scaling
What NOT to Do
- Excessive memory usage
- degraded quality
- Deploy without testing
Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact
Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: LgrappaG
- Source: LgrappaG/Workflows-Agents
- License: MIT
- Homepage: https://lgrappag.github.io/portfolio/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.